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Stewart, D. (2013). A strategy for the dissemination outputs at the national, EU and global levels (Vol. 2).
Abstract: To effectively communicate and disseminate the outputs of CropM and MACSUR per se at national, EU and global levels it is essential that we engage with the appropriate audiences and tailor the level and depth of the outputs accordingly. Consequently for the range of stakeholder outputs there will be a staged period of engagement with stakeholders in the policy and industry sectors (and where appropriate others). This will be driven by the strategies outlined in WP6.3-4 (Strategies for engagement on adaptation and mitigation with national and EU policy makers and with the agro-food chain sector). Once enacted and the feedback collated these response will facilitate the co-construction of an appropriate dissemination strategy. Aligned with this will be a series of standardised dissemination routes that will deliver globally but will then often be followed up by a more local (national) output/dissemination activity tailored for that region. The dissemination strategy will include but will not be limited to multiple and various methods of information distribution including Scientific papers and presentations. Agricultural sector/industry focused talks/presentations and workshops. A fully developed and interactive website (part of the larger project). Social Media Podcasts and WebTV with key actors in the crop and climate change arena including scientists, and stakeholders (policy, agriculturalists and industry representatives). Integration with the cognate EU platforms, e.g. EIP Agricultural and Sustainability, EIT-KIC Climate Change(ETP), the appropriate ETPs (http://cordis.europa.eu/technology-platforms/individual_en.html) and major EU projects such as SUSFOOD etc. No Label
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Kirchner, M., Mitter, H., Schönhart, M., Schmid, E., & Kindermann, G. (2013). A spatially explicit integrated assessment of agricultural policy and climate change impacts on Austrian, land use and environment..
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Dumont, B., Basso, B., Leemans, V., Bodson, B., Destain, J. - P., & Destain, M. - F. (2013). A Site-Specific Grain Yield Response Surface : Computing the Identity Card of a Crop Under Different Nitrogen Management Scenarios..
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Heinke, J., Ostberg, S., Schaphoff, S., Frieler, K., Müller, C., Gerten, D., et al. (2013). A new climate dataset for systematic assessments of climate change impacts as a function of global warming. Geosci. Model Dev., 6(5), 1689–1703.
Abstract: In the ongoing political debate on climate change, global mean temperature change (Delta T-glob) has become the yardstick by which mitigation costs, impacts from unavoided climate change, and adaptation requirements are discussed. For a scientifically informed discourse along these lines, systematic assessments of climate change impacts as a function of Delta T-glob are required. The current availability of climate change scenarios constrains this type of assessment to a narrow range of temperature change and/or a reduced ensemble of climate models. Here, a newly composed dataset of climate change scenarios is presented that addresses the specific requirements for global assessments of climate change impacts as a function of Delta T-glob. A pattern-scaling approach is applied to extract generalised patterns of spatially explicit change in temperature, precipitation and cloudiness from 19 Atmosphere-Ocean General Circulation Models (AOGCMs). The patterns are combined with scenarios of global mean temperature increase obtained from the reduced-complexity climate model MAGICC6 to create climate scenarios covering warming levels from 1.5 to 5 degrees above pre-industrial levels around the year 2100. The patterns are shown to sufficiently maintain the original AOGCMs’ climate change properties, even though they, necessarily, utilise a simplified relationships between Delta T-glob and changes in local climate properties. The dataset (made available online upon final publication of this paper) facilitates systematic analyses of climate change impacts as it covers a wider and finer-spaced range of climate change scenarios than the original AOGCM simulations.
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Dumont, B., Basso, B., Bodson, B., Destain, J. - P., & Destain, M. - F. (2013). A comparison of within season yield prediction methodologies..
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